Inferring Activity Time in News through Event Modeling. - Vladimir Eidelman (ACL (Student Research Workshop), 2008)

BART: A Modular Toolkit for Coreference Resolution. - Yannick Versley; Simone Paolo Ponzetto; Massimo Poesio; Vladimir Eidelman; Alan Jern; Jason Smith 006; Xiaofeng Yang; Alessandro Moschitti (ACL (Demo Papers), 2008)

Improving A Simple Bigram HMM Part-of-Speech Tagger by Latent Annotation and Self-Training. - Zhongqiang Huang; Vladimir Eidelman; Mary P. Harper (HLT-NAACL (Short Papers), 2009)

Cognitive Robotics and Multiagency in a Fuzzy Modeling Framework. - Goran Trajkovski; Georgi Stojanov; Samuel G. Collins; Vladimir Eidelman; Chris Harman; Giovanni Vincenti (Int. J. Agent Technol. Syst., 2009)

cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models. - Chris Dyer; Adam Lopez; Juri Ganitkevitch; Jonathan Weese; Ferhan Türe; Phil Blunsom; Hendra Setiawan; Vladimir Eidelman; Philip Resnik (ACL (System Demonstrations), 2010)

Lessons Learned in Part-of-Speech Tagging of Conversational Speech. - Vladimir Eidelman; Zhongqiang Huang; Mary P. Harper (EMNLP, 2010)

The University of Maryland Statistical Machine Translation System for the Fifth Workshop on Machine Translation. - Vladimir Eidelman; Chris Dyer; Philip Resnik (WMT@ACL, 2010)

Noisy SMS Machine Translation in Low-Density Languages. - Vladimir Eidelman; Kristy Hollingshead; Philip Resnik (WMT@EMNLP, 2011)

The Value of Monolingual Crowdsourcing in a Real-World Translation Scenario: Simulation using Haitian Creole Emergency SMS Messages. - Chang Hu; Philip Resnik; Yakov Kronrod; Vladimir Eidelman; Olivia Buzek; Benjamin B. Bederson (WMT@EMNLP, 2011)

Topic Models for Dynamic Translation Model Adaptation. - Vladimir Eidelman; Jordan L. Boyd-Graber; Philip Resnik (ACL (2), 2012)

Unsupervised Feature-Rich Clustering. - Vladimir Eidelman (COLING (Posters), 2012)

Optimization Strategies for Online Large-Margin Learning in Machine Translation. - Vladimir Eidelman (WMT@NAACL-HLT, 2012)

Online Relative Margin Maximization for Statistical Machine Translation. - Vladimir Eidelman; Yuval Marton; Philip Resnik (ACL (1), 2013)

Mr. MIRA: Open-Source Large-Margin Structured Learning on MapReduce. - Vladimir Eidelman; Ke Wu; Ferhan Türe; Philip Resnik; Jimmy Lin (ACL (Conference System Demonstrations), 2013)

Towards Efficient Large-Scale Feature-Rich Statistical Machine Translation. - Vladimir Eidelman; Ke Wu; Ferhan Türe; Philip Resnik; Jimmy Lin (WMT@ACL, 2013)

Improved Online Learning and Modeling for Feature-Rich Discriminative Machine Translation. - Vladimir Eidelman (2013)

Polylingual Tree-Based Topic Models for Translation Domain Adaptation. - Yuening Hu; Ke Zhai 001; Vladimir Eidelman; Jordan L. Boyd-Graber (ACL (1), 2014)

Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction. - Anastassia Kornilova; Daniel Argyle; Vladimir Eidelman (ACL (2), 2018)

How Predictable is Your State? Leveraging Lexical and Contextual Information for Predicting Legislative Floor Action at the State Level. - Vladimir Eidelman; Anastassia Kornilova; Daniel Argyle (COLING, 2018)

Argument Identification in Public Comments from eRulemaking. - Vlad Eidelman; Brian Grom (ICAIL, 2019)

BillSum: A Corpus for Automatic Summarization of US Legislation. - Anastassia Kornilova; Vlad Eidelman (CoRR, 2019)

An Item Response Theory Framework for Persuasion. - Anastassia Kornilova; Vladimir Eidelman; Daniel Douglass (NAACL-HLT (Findings), 2022)

An Item Response Theory Framework for Persuasion. - Anastassia Kornilova; Daniel Argyle; Vladimir Eidelman (CoRR, 2022)